Stanford Engineering Everywhere CS106B - Programming Abstractions

Stanford Engineering Everywhere CS106B - Programming Abstractions

27 Videos · Jan 7, 2008

About

This course is the natural successor to Programming Methodology and covers such advanced programming topics as recursion, algorithmic analysis, and data abstraction using the C++ programming language, which is similar to both C and Java. If you've taken the Computer Science AP exam and done well (scored 4 or 5) or earned a good grade in a college course, Programming Abstractions may be an appropriate course for you to start with, but often Programming Abstractions (Accelerated) is a better choice. Programming Abstractions assumes that you already have familiarity with good programming style and software engineering issues (at the level of Programming Methodology), and that you can use this understanding as a foundation on which to tackle new topics in programming and data abstraction.

Topics: Abstraction and its relation to programming. Software engineering principles of data abstraction and modularity. Object-oriented programming, fundamental data structures (such as stacks, queues, sets) and data-directed design. Recursion and recursive data structures (linked lists, trees, graphs). Introduction to time and space complexity analysis. Uses the programming language C++ covering its basic facilities.

Prerequisites: *Solid performance in Programming Methodology and readiness to move on to advanced programming topics. *A comparable introductory programming course (including high school AP courses) is often a reasonable substitute for our Programming Methodology.

Course Homepage: [[http://see.stanford.edu/see/courseInfo.aspx?coll=11f4f422-5670-4b4c-889c-008262e09e4e]]

Course features at Stanford Engineering Everywhere page: *Programming Abstractions *Lectures *Syllabus *Handouts *Assignments *Exams

Videos

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Lecture 17: Sort Template with Callback

Nov 15, 2010

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2277 views

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Lecture 8: Common Mistakes Stumbled Upon: 'I'terator

Nov 15, 2010

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2928 views

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Lecture 25: Lexicon Case Study

Nov 15, 2010

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2308 views

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Lecture 26: Final Showdown

Nov 15, 2010

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2045 views

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Lecture 10: Refresh: Permute Code

Nov 15, 2010

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2658 views

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43:02

Lecture 1: About the CS106 Series at Stanford

Nov 15, 2010

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10796 views

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50:53

Lecture 18: Abstract Data Types

Nov 15, 2010

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2436 views

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41:45

Lecture 12: Pointer Movie

Nov 15, 2010

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2685 views

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Lecture 4: C++ Console I/O

Nov 15, 2010

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4189 views

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41:33

Lecture 27: C++ Programming Language

Nov 15, 2010

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29774 views

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47:31

Lecture 7: Seeing Functions as Data: Specific Plot Functions

Nov 15, 2010

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2718 views

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Lecture 15: Selection Sort

Nov 15, 2010

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2888 views

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43:47

Lecture 2: Similarity between C++ & Java: - syntax - variable types - operators ...

Nov 15, 2010

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6512 views

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Lecture 13: Coding with Linked List

Nov 15, 2010

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4874 views

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50:18

Lecture 24: Compare Map Implementations

Nov 15, 2010

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2330 views

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Lecture 22: Map as Vector

Nov 15, 2010

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2149 views

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Lecture 3: C++ Libraries - Standard Libraries

Nov 15, 2010

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6520 views

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Lecture 6: More Containers

Nov 15, 2010

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2561 views

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Lecture 5: Client Use of Templates

Nov 15, 2010

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2885 views

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Lecture 19: Rules of Template Implementation

Nov 15, 2010

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2175 views

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Lecture 21: Buffer: Vector vs Stack

Nov 15, 2010

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2579 views

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Lecture 11: Backtracking Pseudocode

Nov 15, 2010

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3615 views

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Lecture 23: Pathfinder Demo

Nov 15, 2010

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2340 views

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49:32

Lecture 14: Algorithm Analysis

Nov 15, 2010

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5644 views

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Lecture 16: Partitioning for Quicksort

Nov 15, 2010

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2384 views

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Lecture 9: Thinking Recursively

Nov 15, 2010

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3280 views

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Lecture 20: Live Coding: Recap of the Vector-based Implementation for Stack

Sep 1, 2010

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2514 views